Enterprise AI discussions often focus on models, automation accuracy, and speed.
But in real-world environments, AI failures rarely come from bad algorithms.
They come from unowned decisions.
As platforms like ServiceNow automate prioritization, approvals, and remediation, decisions begin to happen faster than leadership oversight. When accountability isn’t explicitly designed, governance gaps surface during incidents, audits, and escalations.
This article explains why enterprises must design decision ownership before scaling AI — especially when automation shifts from execution to judgment.
Read the full analysis here:
👉 https://mjbtech.com/blog_pages/Why-Enterprises-Must-Design-Decision-Ownership-Before-Scaling-AI-in-ServiceNow.html
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